Abdelkader Mohamed Sghaier Derbali | Economics | Best Paper Award

Published on by Best Paper Awards

Best Paper Award

Abdelkader Mohamed Sghaier Derbali
Affiliation Department of Administrative and Financial Sciences, Applied College, Taibah University
Country Saudi Arabia
Scopus ID 57886775600
Documents 86
Citations 866
h-index 15
Subject Area Economics
Event Best Paper Awards
Award Best Paper Award
ORCID 0000-0003-4098-3120

Abdelkader Mohamed Sghaier Derbali

Abdelkader Mohamed Sghaier Derbali of the Department of Administrative and Financial Sciences, Applied College, Taibah University, Saudi Arabia is recognized with the Best Paper Award for research excellence in the field of Economics. The awarded research, titled “Modeling the Nexus Between Climate Risk, Energy Consumption, and Financial Market Performance in Emerging Countries,” examines the interconnected relationships among climate risk, energy consumption, and financial market performance in emerging economies.

Abstract

This article recognizes Abdelkader Mohamed Sghaier Derbali for receiving the Best Paper Award in recognition of research excellence in economics. The awarded research, titled “Modeling the Nexus Between Climate Risk, Energy Consumption, and Financial Market Performance in Emerging Countries,” focuses on the interconnected dimensions of climate risk, energy consumption, and financial market performance. By examining these relationships in emerging countries, the research contributes to broader discussions concerning environmental risk, energy economics, financial markets, and sustainable economic development.

Keywords

Climate Risk, Energy Consumption, Financial Market Performance, Emerging Countries, Environmental Economics, Energy Economics, Financial Markets, Sustainable Development, Economic Risk, Economics.

Introduction

The awarded paper, “Modeling the Nexus Between Climate Risk, Energy Consumption, and Financial Market Performance in Emerging Countries,” addresses these interconnected issues by examining the relationship between climate risk, energy consumption, and financial market performance within emerging economies. The research provides an economic perspective on how environmental and energy-related factors can be considered alongside financial market dynamics.

Research Profile

Abdelkader Mohamed Sghaier Derbali is affiliated with the Department of Administrative and Financial Sciences, Applied College, Taibah University, Saudi Arabia. The researcher is associated with the subject area of Economics. The provided Scopus profile records 86 documents, 866 citations, and an h-index of 15. The Scopus Author ID is 57886775600, while the researcher’s ORCID identifier is 0000-0003-4098-3120.

Research Contributions

The awarded publication contributes to economics research by bringing together three important dimensions: climate risk, energy consumption, and financial market performance. Its focus on emerging countries provides a relevant economic context for studying the interaction between environmental challenges, energy use, and financial market conditions.

Research Impact

The provided academic profile records 86 documents, 866 citations, and an h-index of 15 for Abdelkader Mohamed Sghaier Derbali. These indicators demonstrate an established body of indexed research and citation impact within the researcher’s academic profile.

The awarded research addresses issues of broad relevance to emerging economies, particularly the relationship between climate-related risks, energy consumption, and financial markets. Its focus can contribute to academic discussions concerning sustainable economic development, environmental risk management, energy policy, and financial market resilience.

Award Suitability

The Best Paper Award recognizes research demonstrating academic quality, originality, relevance, and meaningful contribution to its respective field. Abdelkader Mohamed Sghaier Derbali’s awarded research aligns with these objectives through its examination of the relationship between climate risk, energy consumption, and financial market performance in emerging countries.

Conclusion

Abdelkader Mohamed Sghaier Derbali’s research represents a contribution to the field of Economics, particularly in the study of climate risk, energy consumption, and financial market performance. The awarded publication, “Modeling the Nexus Between Climate Risk, Energy Consumption, and Financial Market Performance in Emerging Countries,” provides a focused examination of these interconnected economic and environmental dimensions within emerging countries.

External Links

References

  1. Scopus Author Profile: Abdelkader Mohamed Sghaier Derbali, Author ID 57886775600.
    Scopus. https://www.scopus.com/pages/authors/57886775600
  2. ORCID Research Profile: Abdelkader Mohamed Sghaier Derbali.
    ORCID. https://orcid.org/0000-0003-4098-3120
  3. Best Paper Awards.
    https://bestpaperawards.com/

Richard Romano | Economics | Best Paper Award

Published on by Best Paper Awards

Best Paper Award

Richard Romano
University of Florida
 Richard Romano
Award Category Best Paper Award
Institution University of Florida
Country United States
Scopus 7102604921
ORCID 0000-0003-4961-4559
Article Title Multimodal PCSC Sensors for Real-Time Temperature and Force Detection Using LRTNet
Event Best Paper Awards

The Best Paper Award recognizes outstanding scholarly contributions that demonstrate originality, scientific rigor, technological innovation, and significant impact within their respective fields. Richard Romano has been honored for the publication titled “Multimodal PCSC Sensors for Real-Time Temperature and Force Detection Using LRTNet”, a research work that advances intelligent sensing technologies through the integration of multimodal sensor systems and deep learning methodologies.

Abstract

The awarded publication introduces an advanced multimodal sensing framework capable of simultaneously detecting temperature and force in real time. By incorporating the Long-Range Transformer Network (LRTNet) architecture with Polymer Composite Strain Capacitive Sensors (PCSC), the study demonstrates enhanced sensing accuracy, intelligent data interpretation, and improved performance for next-generation smart monitoring applications. The research contributes to the growing intersection of sensor engineering and artificial intelligence.

Awarded Article

Title: Multimodal PCSC Sensors for Real-Time Temperature and Force Detection Using LRTNet

The publication explores a novel sensing platform that combines multimodal sensor technology with deep neural network-based analytics. Through the implementation of LRTNet, the system effectively processes complex sensor signals and improves the reliability of simultaneous temperature and force measurements. The work provides valuable insights for wearable electronics, healthcare monitoring systems, robotics, and intelligent industrial sensing applications.

Author Profile

Richard Romano is affiliated with the University of Florida, United States. His research interests encompass advanced sensor technologies, intelligent sensing systems, machine learning applications, and interdisciplinary engineering innovations. Through his scholarly contributions, he has participated in the development of next-generation sensing frameworks designed to address real-world monitoring and automation challenges.

Research Contributions

  • Development of multimodal PCSC sensor technology.
  • Integration of LRTNet deep learning architecture for sensor data interpretation.
  • Enhanced accuracy in simultaneous temperature and force sensing.
  • Contribution to intelligent wearable and industrial sensing platforms.
  • Advancement of AI-enabled real-time monitoring systems.

Innovation and Impact

The research demonstrates how machine learning can significantly improve sensor intelligence and operational reliability. By combining multimodal sensing capabilities with advanced neural network models, the study establishes a foundation for more adaptive and responsive sensing platforms. Potential applications include smart healthcare devices, robotic systems, human-machine interfaces, industrial automation, and predictive monitoring environments.

Award Recognition

The Best Paper Award acknowledges publications that exhibit exceptional scientific quality, originality, technical excellence, and societal relevance. The selection of this article reflects its contribution to advancing intelligent sensor systems and its potential to influence future developments in AI-driven sensing technologies. The award celebrates both the scholarly achievement of the author and the broader impact of the research on the scientific community.

Conclusion

The recognition of Richard Romano with the Best Paper Award highlights the significance of innovative research that bridges sensor engineering and artificial intelligence. The publication contributes meaningful advancements to real-time multimodal sensing and demonstrates the transformative potential of deep learning in modern sensor applications. Its scientific value and practical relevance make it a distinguished contribution to the field.

References

  1. Romano, R. et al. (2026). Multimodal PCSC Sensors for Real-Time Temperature and Force Detection Using LRTNet. Sensors, MDPI.
    https://www.mdpi.com/1424-8220/26/11/3506
  2. Elsevier. (n.d.). Scopus author details: Richard Romano Author ID 7102604921. Scopus.
    https://www.scopus.com/
  3. Best Paper Awards Committee. (n.d.). Award evaluation criteria and recognition framework.
    https://bestpaperawards.com/